Mentionly

Monitor API Uptime for Developer Platforms

Developers operating API platforms need immediate alerts for service disruptions reported by users. Mentionly helps you catch real-time outage discussions on developer forums and social media.

The problem

For API-first companies, every minute of downtime or degradation costs revenue and erodes developer trust. While internal monitoring tools like Prometheus or Datadog track system health, users often post about API issues on Reddit's r/APIs, Stack Overflow, or X with specific error codes or unexpected behavior long before your monitoring dashboards flag a problem. This creates a perception of unreliability and frustrates developers who rely on your platform, impacting adoption and long-term loyalty.

Traditional support channels are often reactive; developers open tickets after significant frustration or wasted hours debugging. Waiting for formal bug reports means you're always behind. Your engineering and developer relations teams need a proactive way to intercept these public discussions, diagnose issues faster, and communicate resolutions. Manually scanning countless developer communities for specific API endpoints or error messages is simply not scalable for a growing platform with diverse integrations.

How Mentionly solves it

1
Track real-time mentions of your API, endpoints, and error codes across Reddit and X.
2
Identify widespread API issues reported by multiple developers before official reports.
3
Quickly respond to public complaints, providing solutions or status updates directly.

Concrete example

curl -X GET \
  'https://api.mentionlyhq.com/v1/mentions?query=YourAPIName+OR+error_5xx+OR+api_down&source=reddit,x' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Accept: application/json' | jq '.data[] | {id, text, source, author}'

Ready to try Mentionly?

Social media monitoring + engagement, in one inbox.

Frequently asked questions

How quickly does Mentionly detect API issues from social posts?
Our Reddit monitoring is live, and X, LinkedIn, and Facebook update as frequently as their APIs allow, often providing near real-time detection of public discussions about your API.
Can Mentionly differentiate between general mentions and critical outage reports?
Yes, you can configure keyword sets to prioritize terms like "API down," "error 500," or "breaking change" to quickly surface critical outage or performance discussions.
What if our API has specific error codes developers discuss?
You can set up custom keywords to track specific error codes (e.g., "AUTH_ERROR_401") or deprecated endpoint names, ensuring you catch relevant technical discussions immediately.

Related use cases